The next sexy job
The ability to take data to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it, that’s going to be a hugely important skill.
– Hal Varian, Google
Data science, as it’s practiced, is a blend of Red-Bull-fueled hacking and espresso-inspired statistics.
Data science is the civil engineering of data. Its acolytes possess a practical knowledge of tools & materials, coupled with a theoretical understanding of what’s possible
– Mike Driscoll, CEO of metamarkets
A data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product.
– Hilary Mason, chief scientist at bit.ly
Talking about data also evokes the datascientist, this five-legged sheep of data with statistical, computer skills, perfectly understanding the business stakes of the company… Is he also a fantasy of the ambient discourse on big data ?
While there may exist profiles that come close to this description, reality shows most often that datascience, like science in general, does not happen alone but in a group.(…)
Another little-known fact about the datascientist is that he is first and foremost a craftsman’s trade. Each problem and each dataset always requires a specific approach that cannot be industrialized, which many people still don’t understand.
Recover, mix, enrich, filter, clean, verify, format, transform data…
Decision tree, regression, clustering, graphical model, SVM…
Graphics, Data visualization, Maps…
Recover, mix, enrich, filter, clean, verify, format, transform data…
Decision tree, regression, clustering, graphical model, SVM…
Graphics, Data visualization, Maps…
Retrieve, mix, enrich, filter, clean, verify, format, transform data
Traditional data analysis
Graphics, Data visualization, Maps…